Thread by @stephenwithavee

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs

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Bilinear Input Normalization for Neural Networks in Financial Forecasting

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Auctions and Prediction Markets for Scientific Peer Review

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Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning

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The polarisation of remote work

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Robust PCA Synthetic Control

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Uncertainty in Mechanism Design

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Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models

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Controllable deep melody generation via hierarchical music structure representation

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You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection

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Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition

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FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection

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ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

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ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

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Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement

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Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals

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Music Demixing Challenge at ISMIR 2021

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RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification

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Neural HMMs are all you need (for high-quality attention-free TTS)

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ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding

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Multi-Channel Transformer Transducer for Speech Recognition

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Music Composition with Deep Learning: A Review

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Injecting Text in Self-Supervised Speech Pretraining

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4-bit Quantization of LSTM-based Speech Recognition Models

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The Power of Points for Modeling Humans in Clothing

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Domain-Robust Mitotic Figure Detection with StyleGAN

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Benchmarking the Robustness of Instance Segmentation Models

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Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN

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TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction

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Autonomous Curiosity for Real-Time Training Onboard Robotic Agents

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Multi-task learning from fixed-wing UAV images for 2D/3D city modeling

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FA-GAN: Feature-Aware GAN for Text to Image Synthesis

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BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection

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Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping

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CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication

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Knowledge Perceived Multi-modal Pretraining in E-commerce

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Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method

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A Survey on Open Set Recognition

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KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator

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Tracking Hand Hygiene Gestures with Leap Motion Controller

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DVM-CAR: A large-scale automotive dataset for visual marketing research and applications

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Real World Robustness from Systematic Noise

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SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos

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Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge

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Deep Learning-based mitosis detection in breast cancer histologic samples

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Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

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FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation

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Deep Face Video Inpainting via UV Mapping

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Searching for Efficient Multi-Stage Vision Transformers

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Field-Based Plot Extraction Using UAV RGB Images

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TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes

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Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge

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Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR

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Semi-Supervised Learning using Siamese Networks

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Learning 3D Mineral Prospectivity from 3D Geological Models with Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit

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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction

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Sparse to Dense Motion Transfer for Face Image Animation

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EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance

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Efficient Person Search: An Anchor-Free Approach

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EventPoint: Self-Supervised Local Descriptor Learning for Event Cameras

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Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces

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DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension

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ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection

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Implicit Behavioral Cloning

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Problem Learning: Towards the Free Will of Machines

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Working Memory Connections for LSTM

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Realistic Hands: A Hybrid Model for 3D Hand Reconstruction

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A Novel Dataset for Keypoint Detection of quadruped Animals from Images

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One-shot domain adaptation for semantic face editing of real world images using StyleALAE

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Automatic labelling of urban point clouds using data fusion

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Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection

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Super-Resolution Appearance Transfer for 4D Human Performances

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AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks

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Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision

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Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery

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Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning

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The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images

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StackGAN: Facial Image Generation Optimizations

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Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection

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LUAI Challenge 2021 on Learning to Understand Aerial Images

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LIGAR: Lightweight General-purpose Action Recognition

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From General to Specific: Informative Scene Graph Generation via Balance Adjustment

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Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

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Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

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Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions

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What You Can Learn by Staring at a Blank Wall

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Exploring and Improving Mobile Level Vision Transformers

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X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph

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A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP

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BioFors: A Large Biomedical Image Forensics Dataset

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3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations

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NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks

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Layout-to-Image Translation with Double Pooling Generative Adversarial Networks

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Differentiable Convolution Search for Point Cloud Processing

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Non-Parametric Neural Style Transfer

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Flow-Guided Video Inpainting with Scene Templates

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Airplane Detection Based on Mask Region Convolution Neural Network

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Airplane Type Identification Based on Mask RCNN and Drone Images

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MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification

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Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures

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DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis

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Learning to Track Objects from Unlabeled Videos

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AP-10K: A Benchmark for Animal Pose Estimation in the Wild

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ThresholdNet: Pruning Tool for Densely Connected Convolutional Networks

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VisGraphNet: a complex network interpretation of convolutional neural features

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Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation

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Investigating Vulnerabilities of Deep Neural Policies

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SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts

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Rethinking Deep Image Prior for Denoising

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CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models

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A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry

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QACE: Asking Questions to Evaluate an Image Caption

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Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure

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Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging

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DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction

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TE-YOLOF: Tiny and efficient YOLOF for blood cell detection

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TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera

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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

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Rethinking the Aligned and Misaligned Features in One-stage Object Detection

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DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis

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A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images

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Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling

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FOVEA: Foveated Image Magnification for Autonomous Navigation

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Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method

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LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links

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Anomaly Detection in Medical Imaging -- A Mini Review

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A Reasoning Engine for the Gamification of Loop-Invariant Discovery

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Learning compositional programs with arguments and sampling

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Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation

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Text Classification for Predicting Multi-level Product Categories

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VORRT-COLREGs: A Hybrid Velocity Obstacles and RRT Based COLREGs-Compliant Path Planner for Autonomous Surface Vessels

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RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce

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TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks

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Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech

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Towards Improving Adversarial Training of NLP Models

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Boosting Search Engines with Interactive Agents

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Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation

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Impossibility Results in AI: A Survey

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Planning from video game descriptions

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The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

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Cognitive science as a source of forward and inverse models of human decisions for robotics and control

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M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues

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Masked Adversarial Generation for Neural Machine Translation

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Building a Legal Dialogue System: Development Process, Challenges and Opportunities

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Informing Autonomous Deception Systems with Cyber Expert Performance Data

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Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning

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Effective Sequence-to-Sequence Dialogue State Tracking

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DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning

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Incorporating Deception into CyberBattleSim for Autonomous Defense

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Contrastive Domain Adaptation for Question Answering using Limited Text Corpora

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Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts

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Chi-square Loss for Softmax: an Echo of Neural Network Structure

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The five Is: Key principles for interpretable and safe conversational AI

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TNNT: The Named Entity Recognition Toolkit

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Task-Oriented Dialogue System as Natural Language Generation

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How Does Adversarial Fine-Tuning Benefit BERT?

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Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network

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Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm

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Multi-Agent Simulation for AI Behaviour Discovery in Operations Research

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To tune or not to tune? An Approach for Recommending Important Hyperparameters

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Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

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SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

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RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations

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Generating Answer Candidates for Quizzes and Answer-Aware Question Generators

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Interpretable Propaganda Detection in News Articles

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Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones

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Event Extraction as Natural Language Generation

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Smoothing Dialogue States for Open Conversational Machine Reading

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Disrupting Adversarial Transferability in Deep Neural Networks

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Why and How Governments Should Monitor AI Development

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End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings

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WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving

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Deep learning models are not robust against noise in clinical text

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A New Sentence Ordering Method Using BERT Pretrained Model

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Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest

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Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models

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CrypTen: Secure Multi-Party Computation Meets Machine Learning

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Inferring feature importance with uncertainties in high-dimensional data

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Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

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Properly learning decision trees in almost polynomial time

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A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis

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Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

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The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

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The Impact of Reinitialization on Generalization in Convolutional Neural Networks

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Approximation Properties of Deep ReLU CNNs

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Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization

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Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts

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It's not Rocket Science : Interpreting Figurative Language in Narratives

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Effectiveness of Deep Networks in NLP using BiDAF as an example architecture

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Machine-Learning media bias

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Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning

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Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records

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Time Series Prediction using Deep Learning Methods in Healthcare

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Machine Learning Methods for Management UAV Flocks -- a Survey

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Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India

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Identifying Ransomware Actors in the Bitcoin Network

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Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms

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FedKD: Communication Efficient Federated Learning via Knowledge Distillation

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Extracting Qualitative Causal Structure with Transformer-Based NLP

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Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)

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Feature Importance in a Deep Learning Climate Emulator

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GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale

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Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape

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Representation Memorization for Fast Learning New Knowledge without Forgetting

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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

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ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation

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Incremental Learning for Personalized Recommender Systems

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Reachability Is NP-Complete Even for the Simplest Neural Networks

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Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning

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Photonic Quantum Policy Learning in OpenAI Gym

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Leveraging Transprecision Computing for Machine Vision Applications at the Edge

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Characterizing Malicious URL Campaigns

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Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks

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Harvesting Idle Resources in Serverless Computing via Reinforcement Learning

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HeadlineCause: A Dataset of News Headlines for Detecting Casualties

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Mitigation of Diachronic Bias in Fake News Detection Dataset

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Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP

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Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels

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Variational embedding of protein folding simulations using gaussian mixture variational autoencoders

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Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights

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Stock prices assessment: proposal of a new index based on volume weighted historical prices through the use of computer modeling

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Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?

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Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting

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Man versus Machine: AutoML and Human Experts' Role in Phishing Detection

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DeepFlow: Abnormal Traffic Flow Detection Using Siamese Networks

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Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic

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Quantum Machine Learning for Health State Diagnosis and Prognostics

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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

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Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR

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Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach

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Using GAN-based models to sentimental analysis on imbalanced datasets in education domain

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JUWELS Booster -- A Supercomputer for Large-Scale AI Research

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